A robust proposal of estimation for the sufficient dimension reduction problem-Reference-Cited by-同舟云学术

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A robust proposal of estimation for the sufficient dimension reduction problem

Published:2021-01-03 Issue:3 Volume:30 Page:758-783
ISSN:1133-0686
Container-title:TEST
language:en
Short-container-title:TEST

Author:

Bergesio Andrea,Szretter Noste María Eugenia^ORCID,Yohai Víctor J.

Funder

Fondo para la Investigación Científica y Tecnológica

Secretaria de Ciencia y Tecnica, Universidad de Buenos Aires

Universidad Nacional del Litoral

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://link.springer.com/content/pdf/10.1007/s11749-020-00745-9.pdf

Reference47 articles.

1. Adrover JG, Donato SM (2015) A robust predictive approach for canonical correlation analysis. J Multivar Anal 133:356–376

2. Anderson TW (1951) Estimating linear restrictions on regression coefficients for multivariate normal distributions. Ann Math Stat 22(3):327–351

3. Bergesio A, Szretter Noste ME, Yohai VJ (2020) tauPFC: computes robust estimators for the PFC model. R package version 0.0.1. https://github.com/meszre/tauPFC

4. Boente G, Fraiman R (1989) Robust nonparametric regression estimation for dependent observations. Ann Stat 17(3):1242–1256

5. Boente G, Martínez A (2017) Marginal integration m-estimators for additive models. TEST 26(2):231–260

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